Objektiewe beramers vir die gesensoreerde Rayleigh-model onder verskillende verliesfunksies
| dc.contributor.author | Ferreira, Johannes Theodorus | |
| dc.contributor.author | Bekker, Andriette, 1958- | |
| dc.contributor.email | johan.ferreira@up.ac.za | en_US |
| dc.date.accessioned | 2014-09-23T06:37:21Z | |
| dc.date.available | 2014-09-23T06:37:21Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | The censored Rayleigh model (with wide applications in notably survival analysis) is studied under extended loss functions, not previously considered, by deriving the Bayes estimators under these loss functions, and comparing them with a Monte Carlo simulation study via their risk functions using different objective priors. | en_US |
| dc.description.librarian | am2014 | en_US |
| dc.description.uri | http://www.satnt.ac.za | en_US |
| dc.identifier.citation | Ferreira, J.T. & Bekker, A., 2014, 'Objektiewe beramers vir die gesensoreerde Rayleigh-model onder verskillende verliesfunksies', Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 33(1), Art. #1040, 2 pages. http://dx.DOI.org/ 10.4102/satnt.v33i1.1040. | en_US |
| dc.identifier.issn | 0254-3486 (print) | |
| dc.identifier.issn | 2222-4173 (online) | |
| dc.identifier.other | 10.4102/satnt.v33i1.1040 | |
| dc.identifier.uri | http://hdl.handle.net/2263/42069 | |
| dc.language.iso | Afrikaans | en_US |
| dc.publisher | AOSIS Open Journals | en_US |
| dc.rights | © 2014. The Authors. Licensee: AOSIS OpenJournals. This work is licensed under the Creative Commons Attribution License. | en_US |
| dc.subject | Bayesian estimators | en_US |
| dc.subject | Loss function | en_US |
| dc.subject | Verliesfunksies | en_US |
| dc.subject | Gesensoreerde Rayleigh-model | en_US |
| dc.subject | Censored Rayleigh model | en_US |
| dc.subject | Bayesberamer | en_US |
| dc.title | Objektiewe beramers vir die gesensoreerde Rayleigh-model onder verskillende verliesfunksies | en_US |
| dc.title.alternative | Objective Bayesian estimators for the censored Rayleigh model using different loss functions | en_US |
| dc.type | Article | en_US |